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COBBLESTONE

<div>Employment Type: Full-time &amp; Permanent

Location: Dubai, UAE (Visa sponsorship and relocation assistance provided)

Annual Base Salary: range of $80,000 - $110,000 per annum + performance-based bonus - 0% tax environment + opportunity to join our employee share scheme

Annual Leave: 30 Calendar Days

Public Holidays: As declared by UAE Government annually (8 to 14 days)

Working Days: Monday &ndash; Friday

Probation Period: 3 to 6 Months (As per UAE Labour Law)

Health Insurance: Comprehensive Private Health Insurance (IPD, OPD &amp; Dental)

Residency Visa Sponsorship: Provided by the Company

Relocation Support: Available for candidates relocating to Dubai

End of Service Gratuity: As per UAE Labour Law 

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence. 

Cobblestone Values
<ul>
<li>Excellence in Hiring &amp; Teamwork</li>
<li>Lifelong Learning Through Continuous Reflection</li>
<li>Independent Thinking Through a Meritocracy of Ideas</li>
<li>Winning</li></ul> 
 
Role Description:

We are seeking a highly motivated and talented Data Scientist to join our dynamic team. With a passion for data-driven solutions and a strong academic background, the successful candidate will play a critical role in shaping business decisions and driving operational excellence through advanced analytics, predictive modelling, and the strategic implementation of Generative AI/LLM technologies. 

What we offer in this role
<ul>
<li>A full-time, high-impact position within our dynamic Commercial team.</li>
<li>A team of exceptional colleagues, committed to continuous learning and pushing the boundaries of what's possible.</li>
<li>A career that challenges you to solve complex problems and rewards your drive for continuous innovation.</li>
<li>A unique opportunity to work on impactful projects, making independent decisions that drive real-world outcomes.</li>
<li>The chance to take full ownership of new projects, making high-impact decisions in a dynamic environment.</li>
<li>Equity participation, ensuring long-term alignment</li></ul> 
 
Key Responsibilities:
<ul>
<li>Analyse large, complex datasets to generate actionable insights that inform trading and commercial decisions.</li>
<li>Develop, deploy, and maintain predictive models to support market forecasting and trading strategy optimisation (e.g., time-series models, regression, tree-based methods).</li>
<li>Architect and implement production-ready AI/LLM solutions, such as Retrieval-Augmented Generation (RAG) pipelines or task-specific agents, integrated programmatically into analytical workflows (e.g., via APIs, LangChain, LlamaIndex).</li>
<li>Build, automate, and own end-to-end data workflows covering data ingestion, cleaning, feature generation, and model training, leveraging tools such as Python, SQL, Airflow, pandas, and workflow orchestration platforms (e.g., n8n or similar).</li>
<li>Apply advanced data science techniques, including synthetic data generation where appropriate, to improve model robustness, scalability, and operational efficiency.</li>
<li>Collaborate closely with traders and cross-functional stakeholders to translate business problems into high-quality, data-driven solutions.</li>
<li>Communicate insights and model outputs clearly and concisely, ensuring analytical work drives measurable trading and commercial impact.</li></ul> 
 
Requirements:
<ul>
<li>2-3 years of experience in data science or a related field, with a demonstrated record of achieving exceptional results.</li>
<li>Strong academic background in computer science, mathematics, statistics, or a related field</li>
<li>Outstanding problem-solving and critical thinking skills, capable of addressing complex, high-impact challenges.</li>
<li>Expertise in Python programming, with an ability to apply it to advanced data science problems.</li>
<li>Applied AI Proficiency: Demonstrated practical experience programmatically integrating LLMs (via APIs or frameworks like LangChain/LlamaIndex) into data pipelines or analytical applications.</li>
<li>Automation Focus: Proven ability to design and implement automated, end-to-end data workflows that leverage AI for efficiency gains.</li>
<li>Knowledge of machine learning algorithms and data visualization tools</li>
<li>Exceptional communication and collaboration skills, with a demonstrated ability to excel in fast-paced, cross-functional environments</li>
</ul>
This is an outstanding opportunity for a driven and talented Data Scientist to join an innovative trading company and make a significant impact on our business operations. If you possess a passion for data science and a proven track record of success, we encourage you to apply.

Note: Experience in the power trading domain is highly desirable but not essential. We value exceptional talent and the ability to learn quickly. 


Learn more about Cobblestone Energy careers: 
https://cobblestoneenergy.com/careers/

Why work with us: 
https://cobblestoneenergy.com/why-work-with-us/

Recruitment process: 
https://cobblestoneenergy.com/careers/vacancies/#process</div>

Data Scientist - Dubai, UAE

Yassir

<div>
 
 About Yassir
 
 
 
 Yassir is the Super App designed to make your life easier. Yassir&rsquo;s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. We aspire towards providing our users with the most essential services to their door by leveraging technology and a large ecosystem of partners. We at Yassir stand for: Ambition, Transparency &amp; Trust, Quality, Performance. And we are growing fast - super fast.By choosing a career at Yassir, you choose to be part of one of the most impactful, fastest-growing Tech companies in Africa.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Yassir is seeking a highly skilled and motivated Data Scientist, of any level, to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir&rsquo;s most critical problems
 
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 <ul>
 <li>
 The AI team is part of Yassir&rsquo;s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what&rsquo;s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!
 
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it
 </li>
 <li>
 Some key areas we have to focus include: optimizing our Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing, optimizing our Dispatching capabilities, optimizing our Fraud Detection / Revenue Leakage Prevention capabilities, optimizing our Recommendations / Personalization capabilities, amongst others
 </li>
 <li>
 Identify and propose ML opportunities related to your scope and beyond
 </li>
 <li>
 Support with requirements definition and prioritization of ML projects
 </li>
 <li>
 Collaborate with cross-functional Engineering and Product teams
 </li>
 <li>
 Champion Data Quality as a critical input component to all ML solutions and Analytics
 </li>
 <li>
 Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering
 </li>
 <li>
 Utilize Statistical and ML techniques, as appropriate, for model training
 </li>
 <li>
 Validate and tune ML models
 </li>
 <li>
 Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights
 </li>
 <li>
 Deploy and test ML applications using our MLOps infrastructureMonitor ML models on their technical performance, business impact and underlying data / concept drift
 </li>
 <li>
 Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting
 </li>
 <li>
 Maintain and improve technical documentation of delivered solutions
 </li>
 <li>
 Support the Data &amp; AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams
 </li>
 <li>
 Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities
 
 
 
 </li>
 </ul>
 
 Key Requirements - Essential
 
 
 
 <ul>
 <li>
 Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics
 </li>
 <li>
 Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience (more years of experience would be required for more Senior roles)
 </li>
 <li>
 Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices
 </li>
 <li>
 Comfortable with key Statistical concepts, such as statistical testing and causal analysis
 </li>
 <li>
 Analytical thinking and problem solving skills
 </li>
 <li>
 Engineering mindset focused towards delivering robust applied data science solutions
 </li>
 <li>
 Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling
 </li>
 <li>
 Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred
 </li>
 <li>
 Mastering of the end-to-end (ML) model development lifecycle
 </li>
 <li>
 Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English
 </li>
 <li>
 Positive attitude and resilience
 </li>
 <li>
 Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building
 </li>
 <li>
 Internal drive, self-motivation and ability to work independently including own effective project management
 
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with On-demand, Mobility or Financial Services companies
 </li>
 <li>
 Experience working on ML features for Digital Products (apps, websites)
 </li>
 <li>
 Experience with one or more from: Pricing / Economics related projects and/or modelling techniques (we welcome Economics / Econometrics backgrounds and experience), Fraud Detection related projects, Dispatching related projects, Personalization related projects
 
 
 
 </li>
 </ul>
 
 Join the ride!
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Mid/Senior - Data Scientist

The Cigna Group

<div>Data Science Senior Analyst
Job Objective
We are seeking a data-driven and analytically minded professional to join the Data Science and AI Engineering team within International Health, Cigna Healthcare. Our team designs and delivers high-impact descriptive and predictive analytics and agentic AI solutions to address complex challenges across global and local healthcare markets.
This role is primarily focused on the UAE, with occasional regional coverage across the Middle East. It delivers advanced data analytics and agentic AI-enabled solutions across healthcare domains &ndash; including provider services, clinical operations, healthcare network, and payment integrity &ndash; to generate insights that are clinically relevant, operationally actionable, and aligned with value-based care outcomes. In close partnership with peers across the Technology organization, the role is accountable for development and deployment of agentic AI and machine-learning systems, ensuring adherence to data privacy, data residency, and ethical AI standard.
This is an opportunity for a strong data scientist professional to demonstrate deep technical expertise and business acumen by translating complex data into actionable insights and scalable data products that drive measurable value for health insurance stakeholders.
Job Responsibilities<ul><li>
Partner with Product Owners and domain stakeholders to understand business and provider-related challenges, and recommend appropriate analytical approaches</li><li>
Support the design and implementation of predictive and prescriptive analytics, including models that inform provider engagement strategies, optimize healthcare networks, improve care delivery outcomes, and strength payment integrity</li><li>
Operate effectively within an agile operating model, collaborating in cross-functional squads, contributing to sprint planning, backlog refinement, and iterative delivery of analytics and data products</li><li>
Contribute to the responsible application of Agentic AI by designing, building, and maintaining domain‑aligned knowledge bases that enable Retrieval‑Augmented Generation (RAG), agent‑assisted analytics, and high‑quality, explainable insight generation.</li><li>
Design, curate, and maintain high-quality provider datasets by identifying and managing critical data elements (CDEs), ensuring data completeness, accuracy, consistency, and fitness for advanced analytics and AI-driven use cases</li><li>
Track, quantify, and communicate the business value and impact generated by deployed analytics and AI-enabled data products</li><li>
Work with Data Engineering and Cloud Engineering teams to stay aligned on data ingestion, enrichment, and availability, leveraging both first- and third-party healthcare and provider data</li><li>
Collaborate with Data Governance and AI Governance teams to ensure compliance with UAE data protection and AI governance requirements, including data privacy, data residency, and responsible AI principles, drawing on hands‑on experience delivering analytics or AI solutions in regulated environments</li></ul>
Requirements<ul><li>
Tertiary education in Data Science, Statistics, Computer Science, Engineering, or related disciplines</li><li>
Knowledge of International Classification of Diseases (ICD) and its application within healthcare and health insurance analytics</li><li>
Hands-on experience with Python for data analysis and modeling</li><li>
Experience working with SQL and NoSQL databases</li><li>
Experience in cloud-based data and analytics platforms, preferably Amazon Web Services (AWS) and Databricks, including services such as SageMaker, Athena, or equivalent</li><li>
Good understanding of Foundation Models, including their capabilities, limitations, risk considerations, and appropriate enterprise usage patterns</li><li>
Hands-on experience with prompt engineering and agent engineering, supporting analytics workflows, RAG-based solutions, insight generation, or decision-support use cases</li><li>
Solid knowledge of UAE AI governance and data protection frameworks, with practical experience applying responsible AI principles such as data governance, transparency, risk management, and human‑in‑the‑loop oversight, across analytics or AI initiatives</li><li>
Strong communication skills in English, with the ability to translate analytical and AI-driven insights into clear, business-relevant narratives; additional languages are an advantage</li></ul>
About Cigna Healthcare
Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
If you require reasonable accommodation in completing the online application process, please email: SeeYourselfEMEA@cigna.com for support. Do not email SeeYourselfEMEA@cigna.com for an update on your application or to provide your resume as you will not receive a response.</div>

Data Scientist Senior Analyst

Delivery Hero

<div>Company Description 
Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region. 
We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily. 
Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner. 
Job Description 
As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users. 
As a Senior Data Scientist supporting our Logistics and QCommerce domains, you will drive high-impact decision-making across business functions through data-driven insights and experimentation. Partnering closely with Business Leaders, and fellow Data professionals, you will take ownership of a key business area and influence strategy through rigorous analysis and measurement. Your scope will span the full data lifecycle, from instrumentation and data modeling to analytics, reporting, experimentation, and delivering actionable recommendations that drive measurable business outcomes. 
WHAT&rsquo;S ON YOUR PLATE?<ul><li>
Leveraging ambiguous business problems as opportunities to drive objective criteria using data.</li><li>
Developing a deep understanding of the product experiences and business processes that make up your area of focus.</li><li>
Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.</li><li>
Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.</li><li>
Working closely with product and business teams to identify important questions that can be answered effectively with data.</li><li>
Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision making through deep analysis and automated reports.</li><li>
Designing, planning and analyzing experiments (A/B and multivariate tests).</li><li>
Supporting product and business managers with KPI design and goal setting.</li></ul> 
Qualifications 
Technical Experience<ul><li>
Excellent SQL.</li><li>
Competence with reproducible data analysis using Python or R.</li><li>
Familiarity with data modeling and dimensional design.</li><li>
Experience designing and analyzing experiments using A/B testing, multivariate testing, switchback experiments, and synthetic control methods.</li><li>
Strong command over the entire data analysis lifecycle including; problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.</li><li>
Familiarity with different types of analysis including; descriptive, exploratory, inferential, causal, and predictive analysis.</li><li>
Deep understanding of the various experiment design and analysis workflows and the corresponding statistical techniques.</li><li>
Familiarity with product data (impressions, events, ..) and product health measurement (conversion, engagement, retention, ..).</li><li>
Familiarity with BigQuery and the Google Cloud Platform is a plus.</li><li>
Data engineering and data pipeline development experience (e.g. via Airflow) is a plus.</li><li>
Experience with classical ML frameworks (e.g. Scikit-learn, XGBoost, LightGBM, ...) is a plus.</li></ul> 
Qualifications<ul><li>
Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.</li><li>
5+ years of overall experience working in data science and machine learning.</li><li>
Experience doing data science in an online consumer product setting is a plus.</li></ul> 
Additional Information 
What We'll Be Looking For
Throughout the interview process, we'll assess not only your technical expertise and problem-solving abilities, but also the behaviors that drive success at talabat:<ul><li>
Own It : Taking accountability, demonstrating initiative, and driving outcomes end-to-end.</li><li>
Deliver Value Fast: Balancing speed and quality to create meaningful business impact.</li><li>
Dive Deep: Approaching problems with curiosity, analytical rigor, and a strong attention to detail.</li><li>
Bring Good Vibes: Building strong relationships, collaborating effectively, and contributing positively to team culture.</li><li>
Raise the Bar: Striving for excellence, challenging assumptions, and continuously improving the quality of your work.</li><li>
Stay Humble: Remaining open to feedback, learning from others, and embracing a growth mindset.</li></ul></div>

Sr. Data Scientist - Analysis (Logistics & QC)

Revolut

<div>About Revolut
People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products &mdash; including spending, saving, investing, exchanging, travelling, and more &mdash; help our 75+ million customers get more from their money every day.
As we continue our lightning-fast growth,&zwnj; 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work&trade;. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.
About the Internship Programme
Our Internship Programme is designed for ambitious students who want to make their summer count. Over 8&ndash;10 paid weeks, you&rsquo;ll work on real projects, tackle meaningful challenges, and develop your skills alongside industry experts. It&rsquo;s an opportunity to learn, innovate, and build a solid foundation for your career.
Top performers may be offered a place on our Graduate Programme the following year, giving you the opportunity to return and continue your journey at Revolut.
About the role
Our Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering scalable solutions that move the business forward.
We&rsquo;re looking for Data Scientist and Analyst Interns who believe no data task is too complex. You&rsquo;ll dig into databases, uncover root causes, design smart solutions, and write the code to bring them to life.
Up to shape what&rsquo;s next in finance? Let&rsquo;s get in touch.
Join us from anywhere
The Internship Programme is open to international applicants ready to relocate to one of our tech hubs in Poland, Portugal, the UAE, or the UK. We&rsquo;ll support you with visa assistance, travel costs, and accommodation (conditions apply). You&rsquo;ll be expected to spend around 3 days per week in the office (where role and location allow).
Key dates<ul><li>
Applications: open from May 2026</li><li>
Recruitment process: July&ndash;December 2026</li><li>
Programme start: June / July 2027</li></ul> 
Roles are filled on a rolling basis &mdash; apply early.
What you'll be doing<ul><li>
Taking part in a hands-on bootcamp and working on real projects across multiple teams</li><li>
Helping to build analytical tools and machine learning models (such as dashboards and ETLs) to support product launches</li><li>
Improving visibility in user sign-up flows and operational funnels</li><li>
Enhancing and maintaining data infrastructure (including ETLs and LookML) to keep data accessible and reliable</li><li>
Collaborating with teams across Operations, Growth, and Product to refine features and uncover insights</li><li>
Supporting decision-making with ad-hoc analysis (e.g., interest rate sensitivity, incentive profitability, conversion rates)</li><li>
Learning from industry leaders and staying aligned with team priorities through weekly meetings</li><li>
Managing tasks, tracking progress, and communicating key outcomes</li><li>
Sharing updates with our global teams</li><li>
Receiving regular feedback to guide your development</li></ul>
What you'll need<ul><li>
To be in your penultimate year of a bachelor&rsquo;s or master&rsquo;s degree in computer science, maths, physics, or a similar field (graduating in 2028)</li><li>
Impressive Python and SQL skills</li><li>
An interest or experience in analytics engineering, product analytics, data science, or ML engineering</li><li>
A solid foundation in maths and statistics</li><li>
A proactive, results-driven mindset</li><li>
Fluency in English</li><li>
Great communication, organisational, and problem-solving skills</li><li>
To be comfortable working in a fast-paced, diverse team environment</li><li>
Full-time availability for summer 2027</li><li>
The ability to attend a Revolut office in your country of employment at least 3 days per week (this is a hybrid role)</li></ul>
Compensation range<ul><li>
Krakow: PLN7,600 - PLN7,600 gross monthly*</li><li>
Poland: PLN7,600 - PLN7,600 gross monthly*</li><li>
Other locations: Compensation will be discussed during the interview process</li><li>Final compensation will be determined based on the candidate's qualifications, skills, and previous experience</li></ul>
Building a global financial super app isn&rsquo;t enough. Our Revoluters are a priority, and that&rsquo;s why in 2021 we launched our inaugural D&amp;I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We&rsquo;re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That&rsquo;s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.
Important notice for candidates:
Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.<ul><li>Only apply through official Revolut channels. We don&rsquo;t use any third-party services or platforms for our recruitment.</li><li>Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.</li></ul>
We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it&rsquo;s a scam. Report it immediately.
By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice</div>

Internship Programme 2027: Data Scientist and Analyst

<div>About Revolut
People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products &mdash; including spending, saving, investing, exchanging, travelling, and more &mdash; help our 75+ million customers get more from their money every day.
As we continue our lightning-fast growth,&zwnj; 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work&trade;. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.
About the Graduate Programme
Our Graduate Programme is built for ambitious graduates who want to launch their careers in fintech. Over this 12-month programme, you&rsquo;ll work on real projects, solve complex challenges, and make an impact from day one. With structured training and hands-on experience, you&rsquo;ll grow your skills while exploring different areas of the business.
Top performers can be promoted during or after the programme, giving you the chance to continue your journey at Revolut.
About the role
Our Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering scalable solutions that move the business forward.
We&rsquo;re looking for Graduate Data Scientists and Analysts who are analytical, curious, and ready to deliver impact with data.
Up to shape what's next in finance? Let&rsquo;s get in touch.
Join us from anywhere
The Graduate Programme is open to international applicants willing to relocate to one of our tech hubs in Poland, Portugal, Spain, the UK, or the UAE. We&rsquo;ll support you with visa assistance, travel costs, and accommodation (conditions apply). You&rsquo;ll be expected to spend around 3 days per week in the office (where role and location allow).
Key dates<ul><li>
Applications: open from May 2026</li><li>
Recruitment process: July&ndash;December 2026</li><li>
Programme start: early 2027 (January&ndash;June) or late 2027 (July&ndash;December)</li></ul> 
Roles are filled on a rolling basis, so apply early. You can specify your preferred intake during the recruitment process.
What you'll be doing<ul><li>
Taking part in a hands-on bootcamp and working on real projects across multiple teams</li><li>
Helping to build analytical tools and machine learning models (such as dashboards and ETLs) to support product launches</li><li>
Improving visibility in user sign-up flows and operational funnels</li><li>
Enhancing and maintaining data infrastructure (including ETLs and LookML) to keep data accessible and reliable</li><li>
Collaborating with teams across Operations, Growth, and Product to refine features and uncover insights</li><li>
Supporting decision-making with ad-hoc analysis (e.g., interest rate sensitivity, incentive profitability, conversion rates)</li><li>
Learning from industry leaders and staying aligned with team priorities through weekly meetings</li><li>
Managing tasks, tracking progress, and communicating key outcomes</li><li>
Sharing updates with our global teams</li><li>
Receiving regular feedback to guide your development</li></ul>
What you'll need<ul><li>
A predicted or achieved 2:1 (or equivalent grade) in computer science, maths, physics, or a related field</li><li>
To have graduated in 2025, 2026, or 2027</li><li>
Impressive Python and SQL skills</li><li>
A solid foundation in maths and statistics</li><li>
An interest in analytics engineering, product analytics, data science, or ML engineering</li><li>
Great problem-solving skills and a proactive mindset</li><li>
Fluency in English and excellent communication skills</li><li>
Full-time availability from early or late 2027</li><li>
The ability to attend a Revolut office in your country of employment at least 3 days per week (this is a hybrid role)</li></ul>
Compensation range<ul><li>
Krakow: PLN12,600 - PLN12,600 gross monthly*</li><li>
Poland: PLN12,600 - PLN12,600 gross monthly*</li><li>
Other locations: Compensation will be discussed during the interview process</li><li>Final compensation will be determined based on the candidate's qualifications, skills, and previous experience</li></ul>
Building a global financial super app isn&rsquo;t enough. Our Revoluters are a priority, and that&rsquo;s why in 2021 we launched our inaugural D&amp;I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We&rsquo;re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That&rsquo;s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.
Important notice for candidates:
Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.<ul><li>Only apply through official Revolut channels. We don&rsquo;t use any third-party services or platforms for our recruitment.</li><li>Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.</li></ul>
We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it&rsquo;s a scam. Report it immediately.
By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice</div>

Graduate Programme 2027: Data Scientist and Analyst

Maaloomatiia Academy

<div>
 
 Job Title
 
 
 
 
 Cloudera Data Engineer
 
 
 
 
 Job Scope
 
 
 
 We are seeking an experienced
 
 Cloudera Data Engineer
 
 with strong hands-on expertise in
 
 Cloudera CDP, Hadoop, Spark, Hive, and HDFS
 
 . The ideal candidate will be responsible for building and maintaining big data pipelines, optimizing data workflows, and supporting production environments to ensure reliability and performance.
 
 
 
 Main Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and maintain big data pipelines using Cloudera CDP components.
 </li>
 <li>
 Develop and optimize ETL/ELT workflows using Spark, Hive, and Hadoop ecosystems.
 </li>
 <li>
 Manage and maintain HDFS storage, ensuring high availability and performance.
 </li>
 <li>
 Perform production support activities, including issue resolution, monitoring, and performance tuning.
 </li>
 <li>
 Work with data scientists, analysts, and other engineering teams to support data-driven initiatives.
 </li>
 <li>
 Ensure data governance, security, and compliance across big data environments.
 </li>
 <li>
 Troubleshoot cluster-level issues related to resource utilization, scheduling, and configuration.
 </li>
 <li>
 Participate in solution design, architecture discussions, and technical documentation.
 
 
 
 </li>
 </ul>
 
 Position Requirements
 
 
 
 <ul>
 <li>
 Strong hands-on experience with Cloudera CDP.
 </li>
 <li>
 Proficiency in Hadoop ecosystem: HDFS, YARN, MapReduce, Hive, Impala.
 </li>
 <li>
 Strong experience working with Apache Spark (PySpark or Scala preferred).
 </li>
 <li>
 Solid understanding of distributed systems and big data architecture.
 </li>
 <li>
 Experience with production support and troubleshooting in big data environments.
 </li>
 <li>
 Strong SQL skills and experience optimizing large-scale queries.
 </li>
 <li>
 Familiarity with Linux, shell scripting, and automation tools.
 </li>
 <li>
 Experience with version control (Git) and CI/CD workflows is a plus.
 
 
 
 </li>
 </ul>
 
 Education
 
 
 
 Bachelor's degree in Computer Science or any other related field
 
 
 
 Experience
 
 
 
 <ul>
 <li>
 Experience with cloud platforms (AWS, Azure, GCP) for big data workloads.
 </li>
 <li>
 Exposure to Kafka, NiFi, Oozie, or similar data orchestration tools.
 </li>
 <li>
 Knowledge of Docker, Kubernetes, or containerized environments.
 </li>
 <li>
 Understanding of security, encryption, and data governance concepts.
 </li>
 </ul>
</div>

Cloudera Data Engineer

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